传统的关键成功因素分析方法是基于分析人员的认知能力来评估竞争对手的实力,认知能力的差距导致分析的结果各不相同。原有的分析过程主要依赖的是定性方法,因而分析的结果难以令人满意。针对这些问题,文章设计以信息资源为主导的分析过程,并在此基础上构建基于数据挖掘的关键成功因素分析模型。对模型的处理过程进行解析,并阐述其中涉及的关键技术。 The traditional key success factor analysis method is based on the analyst’s cognitive ability to assess the strength of competitors, the cognitive gap led to the results of different analysis. The original analysis process mainly depends on the qualitative method, so the result of the analysis is unsatisfactory. In response to these problems, the article designs the analysis process which is dominated by information resources, and on this basis, builds a key success factor analysis model based on data mining. Analyze the process of the model and describe the key technologies involved.